Use AI to find search queries for content marketing articles

# Query: Can AI provide search queries that customers are submitting to search engines to find products of their interest?

# Background: A major challenge for content marketers is to create content that ranks high in search engine rankings. For this to happen, the content must use keywords that match the search intent of their customers.

The content must be generic and trustworthy, and not a pitch for the company. It should work as a bait by providing relevant and useful information – information that answers customer queries and drives desired actions.

Such marketing is subtle and demonstrates how the services or products offered by companies solve pain points. The customers do not realise that they are browsing a promotional message.

This is where content marketers must first visualise search words that their customers will use. Then, they should weave these search queries in the content for the search engines to match and display.

# Experiment: The objective of the experiment was to find search words that potential customers may use to get information on 1.5 tonne split air conditioners. These search words would then be used by the content team of the air conditioner company to write an article for being published on the web.

To be ranked high on the search engine results page, the article should second guess the prospective customer, provide the right answers and also meet search engine needs.

A prompt was created with the specific intention of finding search queries that potential customers would use to purchase a 1.5 tonne split air conditioner. This was then submitted to Gemini and to ChatGPT.

The response of the two leading AI engines and my findings are given below.

# Prompt 1: Create a list of possible search queries for Indian users seeking information on purchasing [1.5 tonne split air conditioners].

# Response of Gemini
Search Queries for 1.5 Ton Split ACs in India

General:

• 1.5 ton split AC for India
• Best 1.5 ton split AC in India (2024)
• 1.5 ton inverter split AC India
• 1.5 ton AC price India
• 1.5 ton split AC buying guide India

Brand Specific:

• LG 1.5 ton split AC reviews India
• Voltas 1.5 ton inverter AC India
• Daikin 1.5 ton split AC India price
• Samsung 1.5 ton AC India features
• Carrier 1.5 ton split AC India reviews

Feature Specific:

• 1.5 ton split AC with Wi-Fi India
• 5 star 1.5 ton split AC India
• 1.5 ton inverter AC with copper condenser India
• 1.5 ton split AC with air purifier India
• Best silent 1.5 ton split AC India

Budget Specific:

• Best budget 1.5 ton split AC India
• 1.5 ton split AC under ₹30,000 India
• Affordable 1.5 ton inverter AC India

Location Specific:

• Best 1.5 ton split AC for Delhi, India
• 1.5 ton AC for hot and humid climate India

Additional:

• How to choose the right 1.5 ton split AC India
• 1.5 ton split AC installation cost India
• Energy efficient 1.5 ton split AC India
• 1.5 ton split AC maintenance tips India

# Response of ChatGpt

Possible search queries an Indian user might use:

1. “Best 1.5 ton split AC in India”
2. “Top-rated 1.5 ton split AC brands”
3. “Energy-efficient 1.5 ton split AC models”
4. “Affordable 1.5 ton split ACs”
5. “Comparison of 1.5 ton split ACs”
6. “Quiet 1.5 ton split AC options”
7. “Latest 1.5 ton split AC technology”
8. “1.5 ton split AC with inverter technology”
9. “Reviews of 1.5 ton split ACs”
10. “Installation cost of 1.5 ton split AC”
11. “1.5 ton split AC with copper condenser”
12. “Best deals on 1.5 ton split ACs”
13. “1.5 ton split AC with Wi-Fi control”
14. “1.5 ton split AC with hot and cold features”
15. “1.5 ton split AC with 5-star rating”
16. “1.5 ton split AC for small room”
17. “1.5 ton split AC for large room”
18. “1.5 ton split AC for bedroom”
19. “1.5 ton split AC for living room”
20. “1.5 ton split AC with low maintenance”

# My Findings:

1. All content marketing teams must use AI to seek probable search queries specific to their products.
2. The search queries or keywords should then be used judiciously in the article.
3. Gemini listed the search queries as clusters. Such a listing makes it easy to write listicles.
4. ChatGpt provided a point-wise listing of search queries. Content writers can decide how to spread them out.

My Verdict: Both Gemini and ChatGPT can be depended upon to generate search queries. Content writers don’t have to struggle to find them. Companies can avoid subscribing to keyword generators.

Read also:
AI is a great way to generate product descriptions
How AI can improve your web page content
AI is a great tool to create Social Media snippets